Evaluating media channels

Abstract

A computer system determines feature metrics for a content channel. The content channel includes one or more media items. The computer system receives a query that corresponds to a query types. The query type is associated with a subset of the feature metrics. The computer system evaluates the content channel based on the subset of feature metrics to produce a channel score for the query type and provides the channel score to position at least one of the media items of the content channel in a query result of the query.

What is claimed is: 
     
       1. A method comprising:
 receiving a query corresponding to one of a plurality of query types, the one of the plurality of query types being associated with a subset of a plurality of feature metrics of a plurality of content channels, each of the content channels comprising a plurality of media items; 
 evaluating, by a computer system, a content channel of the plurality of content channels based on the subset of feature metrics of the content channel to produce a channel score of the content channel for the query type; 
 assigning the channel score of the content channel to the plurality of media items of the content channel; and 
 providing the channel score to position at least one of the plurality of media items of the content channel in a query result of the query. 
 
     
     
       2. The method of  claim 1 , wherein the one of the plurality of query types comprises a query based on freshness of data, a query based on quality of data, a query related to channels, or a query related to language demotion. 
     
     
       3. The method of  claim 1 , wherein the plurality of feature metrics comprises a plurality of channel metrics and a plurality of media item metrics for the plurality of media items. 
     
     
       4. The method of  claim 3 , wherein the plurality of channel metrics comprises at least two of a subscriber count, a number of media items associated with the channel, a number of likes of the channel, a number of recommendations of the channel, a number of online media item views of the channel, a number of categories associated with the channel, or a type of category associated with the channel. 
     
     
       5. The method of  claim 3 , wherein plurality of media item metrics comprises at least two of a consumption time metric, a number of likes, a number of recommendations, a number of views, a ranking, or a metric related to release of the media item. 
     
     
       6. The method of  claim 1 , further comprising:
 determining a plurality of channel scores for the channel, the plurality of channel scores corresponding to the plurality of query types. 
 
     
     
       7. The method of  claim 6 , further comprising:
 assigning the plurality of channel scores for the channel to the plurality of media items of the channel. 
 
     
     
       8. A system comprising:
 a memory; and 
 a processing device coupled with the memory to:
 receive a query corresponding to one of a plurality of query types, the one of the plurality of query types being associated with a subset of a plurality of feature metrics of a plurality of content channels, each of the content channels comprising a plurality of media items; 
 evaluate a content channel of the plurality of content channels based on the subset of feature metrics of the content channel to produce a channel score of the content channel for the query type; 
 assign the channel score of the content channel to the plurality of media items of the content channel; and 
 provide the channel score to position at least one of the plurality of media items of the content channel in a query result of the query. 
 
 
     
     
       9. The system of  claim 8 , wherein the one of the plurality of query types comprises a query based on freshness of data, a query based on quality of data, a query related to channels, or a query related to language demotion. 
     
     
       10. The system of  claim 8 , wherein the plurality of feature metrics comprises a plurality of channel metrics and a plurality of media item metrics for the plurality of media items. 
     
     
       11. The system of  claim 10 , wherein the plurality of channel metrics comprises at least two of a subscriber count, a number of media items associated with the channel, a number of likes of the channel, a number of recommendations of the channel, a number of online media item views of the channel, a number of categories associated with the channel, or a type of category associated with the channel. 
     
     
       12. The system of  claim 10 , wherein plurality of media item metrics comprises at least two of a consumption time metric, a number of likes, a number of recommendations, a number of views, a ranking, or a metric related to release of the media item. 
     
     
       13. The system of  claim 8 , wherein the processing device is further to:
 determine a plurality of channel scores for the channel, the plurality of channel scores corresponding to the plurality of query types; and 
 assign the plurality of channel scores for the channel to the one or more media items of the channel. 
 
     
     
       14. A non-transitory computer readable storage medium encoding instructions thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising:
 receiving a query corresponding to one of a plurality of query types, the one of the plurality of query types being associated with a subset of a plurality of feature metrics of a plurality of content channels, each of the content channels comprising a plurality of media items; 
 evaluating, by the processing device, a content channel of the plurality of content channels based on the subset of feature metrics of the content channel to produce a channel score of the content channel for the query type; 
 assigning the channel score of the content channel to the plurality of media items of the content channel; and 
 providing the channel score to position at least one of the plurality of media items of the content channel in a query result of the query. 
 
     
     
       15. The non-transitory computer readable storage medium of  claim 14 , wherein the one of the plurality of query types comprises a query based on freshness of data, a query based on quality of data, a query related to channels, or a query related to language demotion. 
     
     
       16. The non-transitory computer readable storage medium of  claim 14 , wherein the plurality of feature metrics comprises a plurality of channel metrics and a plurality of media item metrics for the plurality of media items. 
     
     
       17. The non-transitory computer readable storage medium of  claim 16 , wherein plurality of media item metrics comprises at least two of a consumption time metric, a number of likes, a number of recommendations, a number of views, a ranking, or a metric related to release of the media item. 
     
     
       18. The non-transitory computer readable storage medium of  claim 14 , wherein the plurality of channel metrics comprises at least two of a subscriber count, a number of media items associated with the channel, a number of likes of the channel, a number of recommendations of the channel, a number of online media item views of the channel, a number of categories associated with the channel, or a type of category associated with the channel. 
     
     
       19. The non-transitory computer readable storage medium of  claim 14 , the operations further comprising:
 determining a plurality of channel scores for the channel, the plurality of channel scores corresponding to the plurality of query types. 
 
     
     
       20. The non-transitory computer readable storage medium of  claim 19 , the operations further comprising:
 assigning the plurality of channel scores for the channel to the plurality of media items of the channel.